Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal Jurnal Agrinika : Jurnal Agroteknologi dan Agribisnis Journal of Intelligent Software Systems Jurnal Ilmiah Pertanian Nasional
Nurcahyo, Agung Wilis
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Computer Science & IT

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
SALES PREDICTION OF VEGETABLE SEED PRODUCTS USING SIMPLE LINEAR REGRESSION Sari, Dini Fakta; Sofian, Muhammad Ali; Nurcahyo, Agung Wilis; Wiharyanto, Kelik; Pereira, Elisabet da Conceição
Journal of Intelligent Software Systems Vol 4, No 1 (2025): Juli 2025
Publisher : LPPM UTDI (d.h STMIK AKAKOM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jiss.v4i1.2001

Abstract

The growth of the modern agricultural sector drives the need for an accurate sales prediction system, especially for vegetable seed products that are highly dependent on the season and market demand. An imbalance between stock and demand can cause losses, either in the form of overstock or undersupply. This condition requires a data-based planning strategy to ensure stock availability according to actual needs in the field. A historical data-based sales prediction approach is a relevant solution to optimize the distribution and procurement process. This study aims to apply a simple linear regression method in predicting vegetable seed sales based on historical data for one year. The prediction model is built using the time variable (month) as the independent variable and the number of seed requests as the dependent variable. This technique was chosen because of its ability to identify linear relationship patterns between time and sales trends in a simple but effective way. The data used comes from internal records of farmers and distributors, which are then classified into two main categories: leafy vegetable seeds (spinach, kale, mustard greens) and fruit vegetable seeds (tomatoes, chilies, eggplants). The results of the study showed that simple linear regression was able to provide fairly accurate predictive results. This model can be used as a basis for decision making in production planning, supply chain management, and seed inventory management, thus supporting the efficiency of farming businesses and reducing potential losses due to mismatches between demand and supply.
Optimizing Slaughterhouse Waste as Liquid Organic Fertilizer: An Organic Solution to Enhance Cayenne Pepper Production Hariyanto, Hariyanto; Hadiyanti, Nugraheni; Kustiani, Edy; Nurcahyo, Agung Wilis
Jurnal Agrinika: Jurnal Agroteknologi dan Agribisnis Vol 9 No 1 (2025): MARCH
Publisher : Kadiri University - Faculty of Agriculture

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/agrinika.v9i1.6454

Abstract

Cattle rumen waste from slaughterhouses holds economic, social, and ecological value when processed into liquid organic fertilizer (LOF). The application of this LOF has the potential to improve soil fertility, thereby enhancing plant growth and productivity. A collaborative study between the Agrotechnology Study Program of Universitas Kadiri and the Slaughterhouse Technical Unit (UPTD RPH) of Kediri City was conducted to evaluate the effect of LOF derived from cattle rumen waste on the growth and yield of cayenne pepper (Capsicum frutescens L.). The research was carried out from October 2022 to January 2023 in the greenhouse of the Geophysics Station (BMKG) located in Sawahan Village, Sawahan Subdistrict, Nganjuk Regency. The experiment used a completely randomized design (CRD) with a single factor: LOF dosage, consisting of six treatment levels: D0 (control), D1 (100 ml/plant), D2 (200 ml/plant), D3 (300 ml/plant), D4 (400 ml/plant), and D5 (500 ml/plant) with four replications. Each experimental unit comprised two plants. Observed parameters included plant height, stem diameter, number of leaves, number of branches, and fruit number and weight. Data were analyzed using analysis of variance (ANOVA), followed by the Least Significant Difference (LSD) test at a 5% significance level. The results indicated that the 500 ml/plant dosage had a highly significant effect on plant height and stem diameter, and a significant effect on the number of branches, but no effect on leaf number. Notably, increasing LOF dosage significantly improved fruit number and weight by 27% at 90 days after transplanting (DAT).
Hubungan Unsur Iklim terhadap Produksi Tanaman Cabai Rawit (Capsicum frutescens L.) di Kabupaten Nganjuk Nurcahyo, Agung Wilis; Junaidi; Hadiyanti, Nugraheni; Nareswari, Aptika Hana Prastiwi
Jurnal Ilmiah Pertanian Nasional Vol. 4 No. 1 (2024): JANUARY
Publisher : Universitas Kadiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/jintan.v4i1.5267

Abstract

Patianrowo District, Nganjuk Regency, located at an altitude of 45 m above sea level, is an essential area for producing cayenne pepper plants. Rainfall is considered to be crucial in the growth of cayenne pepper plants in Patianrowo. This association may be due to sufficient rainfall, providing necessary soil moisture and supporting photosynthesis processes. Meanwhile, air temperature and humidity also affect cayenne pepper production. These plants develop optimally at certain temperatures and humidity; extreme changes can inhibit plant growth and yield. This research aims to analyze the relationship between climate elements on the production of cayenne pepper plants. The research was carried out by applying descriptive-analytical research methods. Secondary data collected includes cayenne pepper production data for 2012-2021 and climate element data (temperature, solar radiation, air humidity and rainfall) in 2012-2021. The data obtained was analyzed using correlation and regression tests. Data from the analysis showed a relationship between climate elements and cayenne pepper production in Patianrowo District, Nganjuk Regency. Solar radiation has a significant effect on cayenne pepper production by 55.84%, temperature has an effect of 48.83%, and air humidity has an effect of 46.36%. The production estimation model for cayenne pepper based on solar radiation is Y= 26,461X –181,459, the production estimation model based on temperature is Y = 94,250X – 2,234,167, and the estimation model based on humidity is Y = 407,659 – 4,643X.   Kecamatan Patianrowo, Kabupaten Nganjuk terletak pada ketinggian 45 m dpl merupakan wilayah penting dalam produksi tanaman cabai rawit. Curah hujan diduga memainkan peran krusial dalam pertumbuhan tanaman cabai rawit di Patianrowo. Keterkaitan ini mungkin disebabkan oleh curah hujan yang mencukupi, memberikan kelembaban tanah yang diperlukan dan mendukung proses fotosintesis. Sementara itu, suhu udara dan kelembaban udara juga mempengaruhi produksi cabai rawit. Tanaman ini cenderung berkembang optimal pada suhu dan kelembaban tertentu, dan perubahan ekstrim dalam kondisi ini dapat menghambat pertumbuhandan hasil tanaman. Tujuan dari penelitian ini adalah untuk menganalisis hubungan antara unsurunsur iklim terhadap produksi tanaman cabai rawit. Penelitian dilaksanakan dengan menerapkan metode penelitian deskriptif analitik. Data sekunder yang dikumpulkan meliputi data produksi cabai rawit periode 2012-2021 dan data unsur iklim (suhu, radiasi matahari, kelembaban udara dan curah hujan) pada tahun 2012-2021. Data yang diperoleh dianalisis mengguunakan uji korelasi dan regresi. Data hasil analisis menunjukkan adanya hubungan antara unsur iklim terhadap produksi cabai rawit di Kecamatan Patianrowo, Kabupaten Nganjuk. Radiasi matahari berpengaruh nyata terhadap produksi cabai rawit sebesar 55,84%, suhu berpengaruh sebesar 48,83% dan kelembaban udara berpengaruh sebesar 46,36%. Model pendugaan produksi cabai rawit berdasarkan radiasi maatahari adalah Y= 26.461X – 181.459, model pendugaan produksi berdasarkan suhu adalah Y = 94.250X – 2.234.167 dan model pendugaan berdasarkan kelembaban adalah Y = 407.659 – 4.643X.  
Co-Authors Dini Fakta Sari, Dini Fakta Edy Kustiani HARIYANTO HARIYANTO Junaidi Junaidi Nareswari, Aptika Hana Prastiwi Nugraheni Hadiyanti Pereira, Elisabet da Conceição Sofian, Muhammad Ali Wiharyanto, Kelik